Paper Info
Title
Dynamic mean-CVaR portfolio optimization in continuous-time
Abstract
The conditional value-at-risk(CVaR) is defined as the expected value of the tail distribution exceeding Value-at-Risk(VaR). As a kind of risk measure, CVaR recently receives much attention from both academic field and financial industry. However, due to the tractability, most of the studies on mean-CVaR portfolio optimization are restricted to the static portfolio analysis, where only buy-and-hold portfolio policy is computed numerically. In this paper, we study the dynamic portfolio policy of the mean-CVaR portfolio model, in which the investor is allowed to adjust the investment policy dynamically to minimize the CVaR of the portfolio as well as keep certain level of the expected return. On recognizing the ill-posed nature of such a problem in continuous-time model, we modify the model by imposing the limited funding level as the upper bound of the wealth. By using the martingale approach, we develop the explicit portfolio policy and mean-CVaR efficient frontier for such a problem.
Year
DOI
Venue
2013
10.1109/ICCA.2013.6565128
ICCA
Keywords
Field
DocType
optimisation,financial industry,buy-and-hold portfolio policy,risk analysis,continuous time systems,investment,financial management,academic field,dynamic mean-cvar portfolio optimization,conditional value-at-risk,conditional value at risk,optimization,reactive power,random variables,computational modeling
Econometrics,Application portfolio management,Actuarial science,Replicating portfolio,Control theory,Modern portfolio theory,Post-modern portfolio theory,Portfolio,Portfolio optimization,Engineering,Black–Litterman model,CVAR
Conference
Volume
Issue
ISSN
null
null
1948-3449
ISBN
Citations 
PageRank 
978-1-4673-4707-5
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Jianjun Gao15111.33
Yan Xiong251.18